Application of back propagation algorithms in neural network based identification responses of AISI 316 face milling cryogenic machining technique

ABSTRACT

The paper explores the potential study of artificial neural network (ANN) for prediction of response surface roughness (Ra) in face milling operation with respect to cryogenic approach. The model of Ra was expressed as the main factor in face milling of spindle speed, feed rate, depth of cut and coolant type. The ANN is trained using four various back propagation algorithms (BPA). The emphasis of the paper is to investigate the performance and the accuracy of the attained results depicts the effectiveness of the trained ANN in identifying the predicted Ra. The incorporated various BPA in predicting the Ra. The performance comparative study is made among statistical (Response Surface Methodology (RSM)) and ANN (BPA – training algorithm) methods. The various incorporated BPA algorithms are Gradient Descent (GD), Scaled Conjugate Gradient Descent (SCGD), Levenberg Marquardt (LM) and Bayesian Neural Network (BNN). Afterwards the best suitable BPA is identified in predicting Ra for AISI 316 in face milling operation using liquid nitrogen (LN₂) as cutting fluid. The outperformed BPA is identified based on the attained deviation percentage and time required for the training the network.

KEYWORDS:

• Artificial neural network (ANN)
• back propagation algorithm (BPA)
• cryogenic (LN₂)
• face milling

Acknowledgments

The authors would like to thank NITK, Surathkal, Department of mechanical engineering for providing support and facilities.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Karthik Rao M C

Mr. Karthik Rao M C is pursuing his PhD in the Cryogenic machining at the Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal. Presently working as a lecturer in the Department of Mechanical and Industrial Engineering, Institute of Technology, Debre Markos University, Ethiopia from the last 3 years. He also worked as an Assistant professor in the Department of Mechatronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal, India for 4 years. Has total of 8 years of teaching experience and 2 years of Industrial experience. His areas of research include:  Machine learning, deep learning, cryogenic machining, soft computing, Statistical tools, artificial intelligent system, web based manufacturing system.

Rashmi L Malghan

Dr. Rashmi L Malghan obtained her PhD from NIT-Surathkal, in 2018. Presently working as Assistant Professor in the Department of Computer science  Engineering, Madanapalle Institute of Technology and Science (MITS), Madanpalle, Andra Pradesh. Her areas of research include:  Machine learning, deep learning, cryogenic machining, soft computing, Statistical tools, artificial intelligent system, web based manufacturing system.

Arun Kumar Shettigar

Dr. Arun Kumar Shettigar obtained his PhD from NIT-Surathkal, in 2015. Presently working as Assistant Professor in the Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal. His areas of research include: Friction stir welding of composite materials, cryogenic machining, soft computing, Statistical tools, CAD/CAM, artificial intelligent system, automated manufacturing system.

Shrikantha S Rao

Dr. Shrikantha S Rao obtained his PhD from NIT- Surathkal, in 2005. Presently working as a Professor and Head of the Department in the Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal. His areas of research include: Computer Integrated Manufacturing system, application of the artificial intelligent system in the manufacturing system, web based manufacturing system and data base management system and cryogenic machining.

Mervin A Herbert

Dr. Mervin A Herbert obtained his PhD from IIT Kharagpur, in 2008. Presently working as Associate Professor in the Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal. His areas of research include: Cryogenic machining, Semi-solid processing of composite materials, friction stir welding of composites, application of artificial neural network.